Efficient Aggressive Behavior Recognition of Pigs Based on Temporal Shift Module.

Ji, Hengyi; Teng, Guanghui; Yu, Jionghua; Wen, Yanbin; Deng, Huixiang; Zhuang, Yanrong

Ji, Hengyi; Teng, Guanghui; Yu, Jionghua; Wen, Yanbin; Deng, Huixiang; Zhuang, Yanrong.

Afiliação

Ji H; College of Water Resources & Civil Engineering, China Agricultural University, Beijing 100083, China.
Teng G; Key Laboratory of Agricultural Engineering in Structure and Environment, Ministry of Agriculture and Rural Affairs, Beijing 100083, China.
Yu J; College of Water Resources & Civil Engineering, China Agricultural University, Beijing 100083, China.
Wen Y; Key Laboratory of Agricultural Engineering in Structure and Environment, Ministry of Agriculture and Rural Affairs, Beijing 100083, China.
Deng H; Key Laboratory of Agricultural Engineering in Structure and Environment, Ministry of Agriculture and Rural Affairs, Beijing 100083, China.
Zhuang Y; Key Laboratory of Agricultural Engineering in Structure and Environment, Ministry of Agriculture and Rural Affairs, Beijing 100083, China.

Animals (Basel) ; 13(13)2023 Jun 23.

Article em En | MEDLINE | ID: mdl-37443876

Palavras-chave

CNN; behavior recognition; computer vision; deep learning; pigs

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Animals (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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